Triple
T15137481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet military districts |
E361591
|
entity |
| Predicate | numberVariedBetween |
P117465
|
FINISHED |
| Object | approximately 16 and 32 districts over time |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 16 and 32 districts over time | Statement: [Soviet military districts, numberVariedBetween, approximately 16 and 32 districts over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberVariedBetween Context triple: [Soviet military districts, numberVariedBetween, approximately 16 and 32 districts over time]
-
A.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
B.
variesLessThan
Indicates that the degree or amount of change in one quantity is smaller than the degree or amount of change in another quantity.
-
C.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
D.
rangeVariant
Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
-
E.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:07 a.m.